SOTAVerified

Audio Source Separation

Audio Source Separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals).

Source: Model selection for deep audio source separation via clustering analysis

Papers

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Showing 51–100 of 112 papers

TitleStatusHype
Audio Source Separation Using a Deep Autoencoder—0
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets—0
Audio Source Separation with Discriminative Scattering Networks—0
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset—0
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF—0
Convolutive Audio Source Separation using Robust ICA and an intelligent evolving permutation ambiguity solution—0
Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices—0
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization—0
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation—0
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds—0
Fast accuracy estimation of deep learning based multi-class musical source separation—0
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision—0
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation—0
GASS: Generalizing Audio Source Separation with Large-scale Data—0
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation—0
Generalized Separable Nonnegative Matrix Factorization—0
Gull: A Generative Multifunctional Audio Codec—0
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation—0
Hyperbolic Audio Source Separation—0
Improved Speech Enhancement with the Wave-U-Net—0
Improving Universal Sound Separation Using Sound Classification—0
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation—0
Interleaved Multitask Learning for Audio Source Separation with Independent Databases—0
Language-Guided Audio-Visual Source Separation via Trimodal Consistency—0
Low algorithmic delay implementation of convolutional beamformer for online joint source separation and dereverberation—0
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation—0
Model selection for deep audio source separation via clustering analysis—0
Move2Hear: Active Audio-Visual Source Separation—0
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio—0
Study of the Performance of CEEMDAN in Underdetermined Speech Separation—0
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks—0
Task-Aware Unified Source Separation—0
Text-Queried Audio Source Separation via Hierarchical Modeling—0
Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn's Algorithm—0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation—0
ZeroSep: Separate Anything in Audio with Zero Training—0
Adversarial attacks on audio source separation—0
Multi-scale Multi-band DenseNets for Audio Source SeparationCode0
Learning to Separate Object Sounds by Watching Unlabeled VideoCode0
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source SeparationCode0
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice ExtractionCode0
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation ModelsCode0
J-Net: Randomly weighted U-Net for audio source separationCode0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
Improved Speech Enhancement with the Wave-U-NetCode0
Generalization Challenges for Neural Architectures in Audio Source SeparationCode0
Densely connected multidilated convolutional networks for dense prediction tasksCode0
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All datasetsAudioSetMUSIC (multi-source)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-SED-SEPSDR10.55—Unverified
2Co-SeparationSDR4.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-SeparationSAR11.3—Unverified